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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Stochastic Reweighted Gradient Descent ICML 2022
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Amortized Proximal Optimization NIPS 2022
Learning Temporal Evolution of Spatial Dependence with Generalized Spatiotemporal Gaussian Process Models JMLR 2022
Online Competitive Influence Maximization AISTATS 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification NIPS 2022
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NIPS 2022
Matching in Multi-arm Bandit with Collision NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Heavy-tailed Streaming Statistical Estimation AISTATS 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022
Fourier Learning with Cyclical Data ICML 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness ICML 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022